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A neural cognitive architecture
Institution:1. University of Campinas (UNICAMP), Campinas, SP, Brazil;2. Ericsson Research Brazil, Ericsson Telecomunicações S.A., Indaiatuba, Brazil;3. Ericsson Research, Ericsson AB, Stockholm, Sweden;1. University of Nebraska at Omaha, Department of Philosophy, Arts and Sciences Hall Room 205, Omaha, NE 68182, USA;2. University of Memphis, Department of Philosophy, 337 Clement Hall, Memphis, TN 38152, USA;3. University of Memphis, Department of Computer Science, 375 Dunn Hall, Memphis, TN 38152, USA;4. University of Memphis, Institute for Intelligent Systems, 365 Innovation Drive, Suite 303, Memphis, TN 38152, USA;1. Sociology & ICS, University of Groningen, Grote Rozenstraat 31, 9712 TG Groningen, The Netherlands;2. Social Sciences, ETH Zürich, Clausiusstrasse 37, 8092 Zürich, Switzerland
Abstract:It is difficult to study the mind, but cognitive architectures are one tool. As the mind emerges from the behaviour of the brain, neuropsychological methods are another method to study the mind, though a rather indirect method. A cognitive architecture that is implemented in spiking neurons is a method of studying the mind that can use neuropsychological evidence directly. A neural cognitive architecture, based on rule based systems and associative memory, can be readily implemented, and would provide a good bridge between standard cognitive architectures, such as Soar, and neuropsychology. This architecture could be implemented in spiking neurons, and made available via the Human Brain Project, which provides a good collaborative environment. The architecture could be readily extended to use spiking neurons for subsystems, such as spatial reasoning, and could evolve over time toward a complete architecture. The theory behind this architecture could evolve over time. Simplifying assumptions, made explicit, such as those behind the rule based system, could gradually be replaced by more neuropsychologically accurate behaviour. The overall task of collaborative architecture development would be eased by direct evidence of the actual neural cognitive architectures in human brains. While the initial architecture is biologically inspired, the ultimate goal is a biological cognitive architecture.
Keywords:Cognitive architecture  Intelligent agents  Learning  Computational neuroscience
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